This research program takes advantage of a validated preclinical rat model with the long-term aim of establishing a multi-level mechanistic account of both impaired and successful cognitive aging, spanning from molecular substrates to cortical network dynamics. A key feature of this animal model is that it is optimized for documenting reliable individual differences in the cognitive outcome of aging, from aged individuals that exhibit substantial impairment to other, aged-matched subjects that score on par with young adults. Ultimately, studies in this model are aimed at defining the essential neurobiological changes that render aging the single greatest risk for Alzheimers disease. Advances from research in this model cut across multiple levels of analysis, from studies on the contribution of epigenetic regulation of gene expression, to behavioral investigations asking how aging alters the interactions between multiple memory systems in brains. The project has also enabled a range of collaborative studies with both intra- and extramural partners, including investigators at the National Institute on Drug Abuse, Johns Hopkins University, University of California Irvine, and the University of Washington. In a recently published study, for example, we aimed to examined the effects of aging on the integrity of network resting state functional connectivity (rs-FC), specifically in relation to individual differences in the cognitive outcome of aging (Ash et al., 2016). Aged rats with impaired spatial memory displayed a distinct network signature relative to both young and aged animals with normal memory, comprising a widely distributed pattern of reduced functional connectivity with a seed in the retrosplenial cortex. A related study examining the same neuroimaging dataset provided additional detail, demonstrating that within regions comprising the default mode network (DMN), changes in functional connectivity in aged rats with memory impairment were most prominent in a posterior parietal/visual cortex module of the DMN (Hsu et al., 2016). These studies also contribute to growing evidence, across multiple levels of analysis, that successful cognitive aging is supported by a distinct, neuroadaptive trajectory, not simply the endurance of a youthful condition. Complementing results from gene expression, epigenetic and behavioral studies in this model, aged animals with preserved memory exhibited a distinct pattern of connectivity with the retrosplenial cortex, prominently including the loss of an anti-correlated network seen in younger animals. Identifying strategies that engage positive neuroadaptive trajectories of cognitive aging is an important focus of current research.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Investigator-Initiated Intramural Research Projects (ZIA)
Project #
1ZIAAG000350-09
Application #
9551852
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
9
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Aging
Department
Type
DUNS #
City
State
Country
Zip Code
Woloszynowska-Fraser, Marta U; Wulff, Peer; Riedel, Gernot (2017) Parvalbumin-containing GABA cells and schizophrenia: experimental model based on targeted gene delivery through adeno-associated viruses. Behav Pharmacol 28:630-641
Bañuelos, Cristina; Wo?oszynowska-Fraser, Marta Urszula (2017) GABAergic Networks in the Prefrontal Cortex and Working Memory. J Neurosci 37:3989-3991
Ash, Jessica A; Lu, Hanbing; Taxier, Lisa R et al. (2016) Functional connectivity with the retrosplenial cortex predicts cognitive aging in rats. Proc Natl Acad Sci U S A 113:12286-12291
Hsu, Li-Ming; Liang, Xia; Gu, Hong et al. (2016) Constituents and functional implications of the rat default mode network. Proc Natl Acad Sci U S A 113:E4541-7
Tomás Pereira, Inês; Gallagher, Michela; Rapp, Peter R (2015) Head west or left, east or right: interactions between memory systems in neurocognitive aging. Neurobiol Aging 36:3067-3078
Sewal, Angila S; Patzke, Holger; Perez, Evelyn J et al. (2015) Experience Modulates the Effects of Histone Deacetylase Inhibitors on Gene and Protein Expression in the Hippocampus: Impaired Plasticity in Aging. J Neurosci 35:11729-42
Zhu, Min; Allard, Joanne S; Zhang, Yongqing et al. (2014) Age-related brain expression and regulation of the chemokine CCL4/MIP-1? in APP/PS1 double-transgenic mice. J Neuropathol Exp Neurol 73:362-74
Spiegel, Amy M; Sewal, Angila S; Rapp, Peter R (2014) Epigenetic contributions to cognitive aging: disentangling mindspan and lifespan. Learn Mem 21:569-74
Ash, Jessica A; Rapp, Peter R (2014) A quantitative neural network approach to understanding aging phenotypes. Ageing Res Rev 15:44-50
Castellano, James F; Fletcher, Bonnie R; Patzke, Holger et al. (2014) Reassessing the effects of histone deacetylase inhibitors on hippocampal memory and cognitive aging. Hippocampus 24:1006-16

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